5 papers
Execution-grounded evaluation reveals hidden failures in language-model calculations for environmental science
Maohao Ran, Chendong Ma, Yanting Zhang +4
Large language models are increasingly used for quantitative work in the environmental sciences, yet existing evaluations score only final answers, leaving calculation process unob…
MMFCTUB: Multi-Modal Financial Credit Table Understanding Benchmark
Cui Yakun, Yanting Zhang, Zhu Lei +5
The advent of multi-modal language models (MLLMs) has spurred research into their application across various table understanding tasks. However, their performance in credit table u…
Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
Cooper Lin, Yanting Zhang, Maohao Ran +7
E-commerce platforms and payment solution providers face increasingly sophisticated fraud schemes, ranging from identity theft and account takeovers to complex money laundering ope…
Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models
Cooper Lin, Maohao Ran, Yanting Zhang +6
Standard safety alignment optimizes Large Language Models (LLMs) for universal helpfulness and honesty, effectively instilling a rigid "Boy Scout" morality. While robust for genera…
CaveAgent: Transforming LLMs into Stateful Runtime Operators
Maohao Ran, Zhenglin Wan, Cooper Lin +21
LLM-based agents are increasingly capable of complex task execution, yet current agentic systems remain constrained by text-centric paradigms that struggle with long-horizon tasks…